JavaParser; A Fine-Grain Concept Indexing Tool for Java Problems

JavaParser; A Fine-Grain Concept Indexing Tool for Java Problems
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Java解析器;

DOI:
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发表时间:
2013
期刊:
International Conference on Artificial Intelligence in Education
影响因子:
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通讯作者:
Peter Brusilovsky
Peter Brusilovsky
中科院分区:
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文献类型:
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作者:
R. Hosseini;Peter Brusilovsky

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程序设计领域问题的多概念性质 语言需要细粒度的索引,这对于排序目的是至关重要的。在本文中,我们提出了一种方法提取这组概念,在一个可靠的自动化的方式使用JavaParser工具。为了证明细粒度排序的重要性,我们提供了一个例子,展示如何在考试准备过程中使用这些信息进行问题排序。
Multi-concept nature of problems in the domain of programming languages requires fine-grained indexing which is critical for sequencing purposes. In this paper, we propose an approach for extracting this set of concepts in a reliable automated way using JavaParser tool. To demonstrate the importance of fine-grained sequencing, we provide an example showing how this information can be used for problem sequencing during exam preparation.